当前标签：theoretical

Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model

馒头and花卷 2022-09-18 20:23 阅读:278 评论:3 推荐:1

How Powerful are Graph Neural Networks?

馒头and花卷 2022-09-15 22:03 阅读:177 评论:0 推荐:0

Weisfeiler-Lehman Test

馒头and花卷 2022-09-15 11:04 阅读:811 评论:0 推荐:0

On Sampled Metrics for Item Recommendation

馒头and花卷 2022-09-11 16:18 阅读:68 评论:0 推荐:0

DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

馒头and花卷 2022-08-27 22:29 阅读:286 评论:0 推荐:0

Addressing Unmeasured Confounder for Recommendation with Sensitivity Analysis

馒头and花卷 2022-08-19 21:24 阅读:162 评论:0 推荐:0

AutoDebias: Learning to Debias for Recommendation

馒头and花卷 2022-08-19 18:07 阅读:276 评论:0 推荐:1

Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation

馒头and花卷 2022-08-11 21:16 阅读:211 评论:0 推荐:1

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

馒头and花卷 2022-08-07 17:29 阅读:194 评论:0 推荐:0

DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation

馒头and花卷 2022-08-07 11:42 阅读:499 评论:0 推荐:1

On Variational Bounds of Mutual Information

馒头and花卷 2022-08-07 10:18 阅读:700 评论:0 推荐:1

Less is More: Reweighting Important Spectral Graph Features for Recommendation

馒头and花卷 2022-07-28 21:54 阅读:385 评论:0 推荐:0

Commute Time Distance

馒头and花卷 2022-07-24 19:05 阅读:196 评论:0 推荐:0

Doubly Robust Joint Learning for Recommendation on Data Missing Not at Random

馒头and花卷 2022-07-17 15:43 阅读:585 评论:3 推荐:1

Recommendations as Treatments: Debiasing Learning and Evaluation

馒头and花卷 2022-07-16 15:22 阅读:349 评论:0 推荐:0

Towards Long-term Fairness in Recommendation

馒头and花卷 2022-07-14 15:32 阅读:107 评论:0 推荐:0

Ranking with Fairness Constraints

馒头and花卷 2022-07-09 16:31 阅读:58 评论:0 推荐:0

Pearl Causal Hierarchy (PCH)

馒头and花卷 2022-07-06 18:41 阅读:465 评论:0 推荐:0

Score-Based Generative Modeling through Stochastic Differential Equations

馒头and花卷 2022-06-21 13:02 阅读:4274 评论:5 推荐:2

How Powerful is Graph Convolution for Recommendation?

馒头and花卷 2022-06-18 17:07 阅读:300 评论:0 推荐:0